An efficient sampler for discrete random variables

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Interface for transformation functions in Julia

Compatibility across Julia versions

Package to make C++ libraries available in Julia

A data-focused namespace for packages to share functions

Julia implementation of Data structures

Interface for mathematical/statistical densities in Julia

Value iteration solver for MDPs

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

A Julia package for probability distributions and associated functions.

Extensions for Julia's docsystem.

Main Package for IO, loading all different kind of files

Julia package for lazily representing matrices filled with a single entry

An optimized graphs package for the Julia programming language

A Julia package for calculating hypergeometric functions

Julia implementation of zlib decompression

Interface for function inversion in Julia

Defines additional irrationals

HDF5-compatible file format in pure Julia

Convenient input and display of LaTeX equation strings for the Julia language

An optimized graphs package for the Julia programming language

Julia package for various special functions based on `log` and `exp`.

MacroTools provides a library of tools for working with Julia code and expressions.

Graph data structures with multiple heterogeneous metadata for Graphs.jl.

Missing value support for Julia

Some utilities for working with NamedTuples

Julia implementation of associative containers that preserve insertion order

Types with default field values, keyword constructors and (un-)pack macros

Uniform Interface for positive definite matrices of various structures

Tools to help develop POMDP Models

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Reduce time-to-first-execution of Julia code

Project Preferences Package

Back to the stone age!

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia macro for re-exporting one module from another

Lazy code loading for Julia

Archive of functions that emulate R's d-p-q-r functions for probability distributions